tensorflow / tensorflow/probability
Autoregressive flow on jax
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
The docstring for MaskedAutoregressiveFlow suggests AutoregressiveNetwork, which fails on the jax substrate due to Keras dependencies. If there are still missing pieces, are you interested in contributions?
@sharadmv @SiegeLordEx
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the MaskedAutoregressiveFlow docstring and its reference to AutoregressiveNetwork, then investigate the JAX substrate's Keras dependency issue. The issue does not name files or tests; done would require identifying and implementing the missing JAX-compatible pieces, with documentation that no longer suggests an incompatible path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100